• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.909-912
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• 2014

최근 자연어 처리 분야에서는 한국어로 작성된 서답형 문항을 자동으로 채점하기 위한 시스템을 개발하기 위한 연구가 꾸준히 진행되고 있다. 2013년도에는 답안 정규화, 채점 기준 작성 및 편집, 자동 채점 및 채점 후처리 작업 등 자동 채점 프로세스를 수행할 수 있는 시스템을 설계 및 개발하였다. 본 논문은 2013년도에 개발된 자동 채점 시스템의 문제점을 분석하고 채점자가 보다 편리하게 채점을 수행할 수 있도록 추가 및 개선한 기능과 이를 구현하기 위해 이용한 자연어 처리 기술을 소개한다.

• Journal of Korean Home Economics Education Association
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• v.32 no.3
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• pp.135-159
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• 2020

The purpose of this study was to develop items of an essay response assessment that could align with the instructions and assessments in the high school home economics curriculum. The contents of the study were as follows. First, to establish an assessment plan, 14 achievement standards were analyzed in the assessment area, and the elements of the questions were developed including the content elements of a total of 29 questions. Second, to develop the assessment tools, preliminary questions suited to the structure of essay questions were developed, and the method of presenting data and scoring criteria to be utilized in the questions was selected. Third, to prepare the answers and the scoring criteria tables, the answers to the sample questions for each score were prepared in form of a scoring criteria table, and the objectives of the assessment, the scoring items, and the scores for each item were reviewed. Fourth, the developed questions and answers were revised and supplemented by teachers of the professional learning community through preliminary and mutual review on the components of the questions, the embodiment of the assessment objectives, the implementation of the assessment intent, and the grading. This study can be used as a foundational study for the development of essay-type questions and scoring criteria in essay assessment in the field of education. Furthermore, the results of this study could help teachers enhance their learners' ability to apply knowledge in the future.

• 한국어정보학회:학술대회논문집
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• 2016.10a
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• pp.181-185
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• 2016

최근 교육과정에서 학생들의 능력 평가는 단순 암기보다 학생들의 종합적인 사고력을 판단할 수 있는 서답형 문항을 늘리는 방향으로 변하고 있다. 그러나 서답형 문항의 경우 채점하는 데 시간과 비용이 많이 들고, 채점자의 주관에 따라 채점 결과의 일관성과 신뢰성을 보장하기 어렵다는 문제가 있다. 이런 점을 해결하기 위해 해외의 사례를 참고하여 국내에서도 서답형 문항에 자동채점 시스템을 적용하는 연구를 진행하고 있다. 본 논문에서는 2014년도에 개발된 '한국어 문장 수준 서답형 문항 자동채점 시스템'의 성능분석을 바탕으로 언어 처리 기능과 자동채점 성능을 개선한 2015년도 자동채점 시스템을 간략하게 소개하고, 각 자동채점 시스템의 성능을 비교 분석한다. 성능 분석 대상으로는 2014년도 국가수준 학업성취도평가의 서답형 문항을 사용했다. 실험 결과, 개선한 시스템의 평균 완전 일치도와 평균 정확률이 기존의 시스템보다 각각 9.4%p, 8.9%p 증가했다. 자동채점 시스템의 목적은 가능한 채점 시간을 단축하면서 채점 기준의 일관성과 신뢰성을 확보하는 데 있으므로, 보완한 2015년 자동채점 시스템의 성능이 향상되었다고 판단할 수 있다.

• Annual Conference on Human and Language Technology
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• 2016.10a
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• pp.181-185
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• 2016

최근 교육과정에서 학생들의 능력 평가는 단순 암기보다 학생들의 종합적인 사고력을 판단할 수 있는 서답형 문항을 늘리는 방향으로 변하고 있다. 그러나 서답형 문항의 경우 채점하는 데 시간과 비용이 많이 들고, 채점자의 주관에 따라 채점 결과의 일관성과 신뢰성을 보장하기 어렵다는 문제가 있다. 이런 점을 해결하기 위해 해외의 사례를 참고하여 국내에서도 서답형 문항에 자동채점 시스템을 적용하는 연구를 진행하고 있다. 본 논문에서는 2014년도에 개발된 '한국어 문장 수준 서답형 문항 자동채점 시스템'의 성능분석을 바탕으로 언어 처리 기능과 자동채점 성능을 개선한 2015년도 자동채점 시스템을 간략하게 소개하고, 각 자동채점 시스템의 성능을 비교 분석한다. 성능 분석 대상으로는 2014년도 국가수준 학업성취도평가의 서답형 문항을 사용했다. 실험 결과, 개선한 시스템의 평균 완전 일치도와 평균 정확률이 기존의 시스템보다 각각 9.4%p, 8.9%p 증가했다. 자동채점 시스템의 목적은 가능한 채점 시간을 단축하면서 채점 기준의 일관성과 신뢰성을 확보하는 데 있으므로, 보완한 2015년 자동채점 시스템의 성능이 향상되었다고 판단할 수 있다.

• Journal of The Korean Association For Science Education
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• v.22 no.2
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• pp.398-409
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• 2002

The purpose of this study was to investigate the validity, reliability and practicality of a concept map as an assessment tool in the context of biology concept learning. Forty undergraduate students participated in concept mapping, and the maps were scored by preservice science teachers, using one of three different scoring methods, that is, concept map scoring methods developed by Burry-Stock, Novak & Gowin and McClure & Bell. Two scorers were assigned to each scoring method. As far as the validity of the assessment methods was concerned, two of the three methods were found to be very valid, while Burry-Stock's scoring method was shown little valid. As far as the internal consistency of the methods was concerned, considerably high consistencies were shown between every pair of scorers, judging from high correlation coefficients between the pair of scorers for each scoring method. It took from 1.13 minutes to 3.70 minutes to assess a map at the average. It showed that concept mapping could be used in school classrooms with the limited resources of time and people. These findings suggest that the concept mapping can be an appropriate tool for assessing biology concept understandings.

• Journal of The Korean Association For Science Education
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• v.40 no.3
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• pp.321-336
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• 2020

We explore automated scoring models of scientific argumentation. We consider how a new analytical approach using a machine learning technique may enhance the understanding of spoken argumentation in the classroom. We sampled 2,605 utterances that occurred during a high school student's science class on molecular structure and classified the utterances into five argumentative elements. Next, we performed Text Preprocessing for the classified utterances. As machine learning techniques, we applied support vector machines, decision tree, random forest, and artificial neural network. For enhancing the identification of rebuttal elements, we used a heuristic feature-engineering method that applies experts' classification of morphemes of scientific argumentation.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.109-120
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• 2017

It is important to estimate objectively in the driving test. Especially, the driving test is examined by totally driving ability, rule observation and situational judgement. For this, a grading automation system for driving test was presented by using GPS, sensor data and equipment operation informations. This system is composed of vehicle mounted module, automatic grading terminal, data controller, data storage and processing server. The vehicle mounted module gathters sensor data in the car. The terminal performs automatic grading using the received sensor data according the driving test criterion. To overcome the misposition of vehicle in the map due to GPS error, we proposed the automatic grading system by map matching method, path deviation and return algorithm. In the experimental results, it was possible to grade automatically, display the right position of the car, and return to the right path under 10 seconds when the vehicle was out of the shadow region of the GPS. This system can be also applied to the driving education.

• The Journal of Korean Association of Computer Education
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• v.21 no.6
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• pp.105-115
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• 2018

The descriptive-type question is appropriate for deep thinking ability evaluation, but it is not easy to grade. Since, even though same grading criterion, the graders produce different scores, we need the objective evaluation system. However, the system needs the Korean analysis. As the descriptive-type answering is described with the compound sentence, the system has to analyze the compound sentence. This paper develops the Korean syntactic-semantic analysis system for compound sentence and evaluates performance of the system. This system selects the modifiee of the word phrase using syntactic-semantic constraint and semantic dictionary. The 93% accurate rate shows that the system is effective. This system will be utilized in descriptive-type grading and Korean processing.

• Communications of Mathematical Education
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• v.28 no.4
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• pp.553-571
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• 2014

Mathematical process is an issue in current mathematics education. In this paper discuss how to assess the mathematical process using essay type questions. For this we first suggest the concept of Mathematical Process Oriented Question which is an essay type question and possible to assess mathematical processes, that is, the mathematical communication, reasoning, and problem solving as well as mathematics knowledge. And we develop a framework for developing the mathematical process oriented question and rubric, examples of assessment standards and those questions containing rubric for assessing mathematical processes. The results of this paper can serve as basic data and examples for follow up research about mathematical process assessment.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.109-110
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• 2023

본 논문에서는 교육현장에서 서술평평가를 자동화하기 위한 시스템을 제안한다. 제안 시스템은 장문의 응답에서 단어를 추출하여 단어 간 네트워크를 생성하고 정답 네트워크와 비교를 통해 평가를 실시한다. 기존의 키워드 방식은 네트워크 관점에서 노드를 기준으로 채점하는 것이라면, 제안 시스템은 엣지를 기준으로 채점하게 되어 학습자의 답변에서 지식의 관계성을 채점할 수 있어 학습자에게 유용한 피드백을 줄 수 있을 것으로 기대한다.